info@erdoslogistics.io
ABOUT ERDOS LOGISTICS

Built by furniture people,
for furniture people

Erdos Logistics developed out of our work with a furniture company with over 30 years of experience in the industry — one that owns and operates retail franchises for their own as well as other brands. That deep operational knowledge is our foundation.

30+YEARS INDUSTRY EXP.
4INDUSTRIES SERVED
3CORE MODULES
1UNIFIED PLATFORM
OUR STORY

From decades of industry knowledge to intelligent software

Erdos Logistics didn’t start in a tech lab. It started on loading docks, in showrooms, and inside the back offices of one of the most experienced furniture operations in the country.

After more than 30 years running retail franchises — both proprietary brands and partnerships — the founding team knew exactly where the industry’s pain points lived: fragmented inventory data, manual sales workflows, and accounting systems that couldn’t keep pace with multi-location complexity.

Erdos Logistics was built to solve those problems at their root. By combining that hard-won operational expertise with cutting-edge machine learning, we created a platform that doesn’t just digitize existing processes — it transforms them into a genuine competitive advantage.

30+ Years Experience
ML Integration
Erdos Platform
OUR MISSION

Empowering furniture companies with intelligent operations

We believe every furniture company — from a single-location showroom to a multi-state franchise network — deserves access to the same caliber of operational intelligence that the largest retailers in the world enjoy.

Our mission is to eliminate the operational friction that holds furniture businesses back: disconnected systems, manual reporting, and reactive decision-making. Erdos Logistics replaces all of that with a single, ML-powered platform that turns your data into your strongest strategic asset.

Values

What drives us

The principles behind every line of code and every product decision.

Industry-First Design

We don’t build generic tools and hope they fit. Every feature is informed by decades of furniture industry operations — from showroom floor to warehouse dock.

ML That Matters

Our machine learning isn’t a marketing buzzword. It’s trained on real furniture data and delivers real predictions — demand forecasting, route optimization, and margin analysis that work.

Partnership, Not Licensing

We treat every customer like a partner. Your success is our success — which is why we handle onboarding, training, and continuous optimization alongside you.

LEADERSHIP

Built by a team that knows the business

Erdos Logistics is a product of the Ramsey Theory Group — an applied mathematics and AI software firm based in Fort Lee, NJ, led by CEO Dan Herbatschek.

Dan Herbatschek

Dan Herbatschek

Founder & CEO

Columbia University graduate (Summa Cum Laude, Phi Beta Kappa). Background in applied mathematics with a focus on translating complex mathematical frameworks into practical business solutions.

Meet Dan

ML

Machine Learning Team

AI & Data Science

Our ML engineers specialize in predictive analytics, demand forecasting, and logistics optimization — all trained on decades of real furniture industry operational data.

OPS

Operations Team

Industry & Implementation

Furniture industry veterans who bridge the gap between technology and daily operations, ensuring every feature we ship solves a real problem on the ground.

RAMSEY THEORY GROUP

The applied mathematics company behind Erdos Logistics

Erdos Logistics is a product of the Ramsey Theory Group (RTG), an applied mathematics and AI software firm based in Fort Lee, NJ. RTG’s portfolio spans automotive retail (EuniFi), construction and field service ERP (Erdos Tracks), telehealth (Erdos Medical), and digital marketing (Erdos Digital).

Across every product, RTG’s approach is the same: apply rigorous mathematical thinking and modern machine learning to industries that have been underserved by technology. Erdos Logistics brings that philosophy to the furniture supply chain.

ramseytheory.com

RTG Product Family

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